Evidence map›Paper›PMID 29123199›Full record

ArticleScientific reports2017

Detection of genomic loci associated with chromosomal recombination using high-density linkage mapping in Setaria.

Guanqing Jia, Haigang Wang, Sha Tang, Hui Zhi, Sichen Liu, Qifen Wen, Zhijun Qiao, Xianmin Diao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Guanqing JiaInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China.
Haigang WangInstitute of Crop Germplasm Resources, Shanxi Academy of Agricultural Sciences, Taiyuan, 030031, People's Republic of China.
Sha TangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China.ORCID 0000-0002-5825-9598
Hui ZhiInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China.
Sichen LiuInstitute of Crop Germplasm Resources, Shanxi Academy of Agricultural Sciences, Taiyuan, 030031, People's Republic of China.
Qifen WenInstitute of Crop Germplasm Resources, Shanxi Academy of Agricultural Sciences, Taiyuan, 030031, People's Republic of China.
Zhijun QiaoInstitute of Crop Germplasm Resources, Shanxi Academy of Agricultural Sciences, Taiyuan, 030031, People's Republic of China.
Xianmin DiaoInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, P.R. China. diaoxianmin@caas.cn.
Chinese Academy of Agricultural Sciences · CNShanxi Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meiotic recombination is essential to sexual reproduction and the generation of genetic diversity. Variation in recombination rates is presently of particular interest due to efforts being made to increase the rate of genetic gain in agricultural crops by breaking up large linkage disequilibrium blocks containing both beneficial and detrimental alleles. Here, a high-density genetic linkage map of Setaria was constructed using tunable genotyping by sequencing (tGBS) analysis of a population of recombinant inbred lines (RILs). Several regions of the Setaria genome exhibited significant levels of segregation distortion (SD), and recombination crossovers (COs) were also detected. The regions with high SD generally tended to have fewer COs, particularly for pericentromeric chromosomal areas. Recombination crossovers detected in Setaria were unevenly distributed across the genome and occurred more often in intergenic regions. Quantitative trait loci (QTLs) contributing towards the recombination frequency (Type I) and occurrence of COs in designated loci (Type II) were identified, and Type II QTLs garnered higher statistical power. The result of this study suggest that QTLs analysis of Type II traits using RILs might provide an opportunity to further understand meiotic recombination using high throughput genome sequencing and genotyping technologies.

Indexed as

Chromosome MappingGenetic LociRecombination, GeneticGenotypeGenotyping TechniquesSequence Analysis, DNASetaria Plant

Identifiers

PMID29123199
PMCPMC5680217
OpenAlexW2766077694

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.